Man pages for ernm
Exponential-Family Random Network Models

as.BinaryNet	convert and network to either an UndirectedNet or DirectedNet...
as.network.DirectedNet	convert and DirectedNet to a network object
as.network.UndirectedNet	convert and UndirectedNet to a network object
BinaryNet	BinaryNet
calculateStatistics	calculate model statistics from a formula
call-symbols	Internal Symbols
createCppModel	creates a model
createCppSampler	create a sampler
DirectedNet-class	DirectedNet Class
dutch_school	Dutch School Data
ernm	fits an ERNM model
ernmFit	fit an ernm model
ernm_gof	print
ErnmModels	Models
ernmPackageSkeleton	Create an ERNM Package Skeleton
ErnmSamplers	Metropolis Samplers
extract-methods	Subsetting and assignment for Net objects
fullErnmLikelihood	likelihood for a fully observed ernm
FullErnmModel	creates an ERNM likelihood model
marErnmLikelihood	likelihood for an ernm with missing data
mcmcEss	MCMC Effective Sample Size
mcmcse	MCMC Standard Error by Batch
MissingErnmModel	creates an ERNM likelihood model
plot.DirectedNet	plot an DirectedNet object
plot.ernm	plot an ernm object
plot.UndirectedNet	plot an UndirectedNet object
print.ernm	print
registerDirectedStatistic	Register Statistics
runErnmCppTests	runErnmCppTests
samplike	Sampson's Monks Data
simulateStatistics	simulate statistics
summary.ernm	summary
taperedErnmLikelihood	(E(g(X)) - g(x_o)^2 for TaperedModel
UndirectedNet-class	UndirectedNet Class
vcov.ernm	parameter covariance matrix